RoBSA-package

_PACKAGE

RoBSA_package

RoBSA.package

Bayesian model-averaged parametric survival analysis
with ability to specify informed prior distributions and draw inference with
inclusion Bayes factors. See bartos2021informed;textualRoBSA
for more details about the methodology.

package

A framework for estimating ensembles of parametric survival models
with different parametric families. The RoBSA framework uses Bayesian
model-averaging to combine the competing parametric survival models into
a model ensemble, weights the posterior parameter distributions based on
posterior model probabilities and uses Bayes factors to test for the
presence or absence of the individual predictors or preference for a
parametric family (Bartoš, Aust & Haaf, 2022, <doi:10.1186/s12874-022-01676-9>).
The user can define a wide range of informative priors for all parameters
of interest. The package provides convenient functions for summary, visualizations,
fit diagnostics, and prior distribution calibration.

Franti<c5><a1>ek Barto<c5><a1>

RoBSA

Robust Bayesian Survival Analysis

František Bartoš

Julia M. Haaf

Matthew Denwood

Martyn Plummer

RoBSA-package function

See bartos2021informed;textualRoBSA,
for details regarding the RoBSA methodology.

User guide

František Bartoš <a href="/link/f.bartos96%40gmail.com?package=RoBSA&version=1.0.2" data-mini-rdoc="RoBSA::f.bartos96@gmail.com">f.bartos96@gmail.com</a>

Author

RoBSA: Robust Bayesian survival analysis — RoBSA-package

František Bartoš <a href='mailto:f.bartos96@gmail.com'>f.bartos96@gmail.com</a>

RoBSA-package: RoBSA: Robust Bayesian survival analysis

Description

Arguments

User guide

Author

References

See Also